Aggregating and visualizing public opinions and sentiment trends on the US higher education

Robin G. Qiu, Ramya R. Ravi, Lawrence L. Qiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Through leveraging big data technologies and a quantitative and model-driven approach, we previously built an education monitoring and ranking system (eduMRS) that allowed us to change ranking factors that are used to assess quality of higher education. Taking a systems perspective, this short paper introduces an enhanced eduMRS - II that can effectively aggregate and visualize public opinions and sentiment trends on higher education services. Public opinions can be selectively retrieved from online media including tweets. This enhanced service system demonstrates that a big data based, real time, and interactive computer application possesses promising potential of facilitating decision-making of addressing the needs of customers in the service industry.

Original languageEnglish (US)
Title of host publication17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings
EditorsMatthias Steinbauer, Maria Indrawan-Santiago, Gabriele Anderst-Kotsis, Ismail Khalil
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450334914
DOIs
StatePublished - Dec 11 2015
Event17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Brussels, Belgium
Duration: Dec 11 2015Dec 13 2015

Publication series

Name17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings

Other

Other17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015
CountryBelgium
CityBrussels
Period12/11/1512/13/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Aggregating and visualizing public opinions and sentiment trends on the US higher education'. Together they form a unique fingerprint.

  • Cite this

    Qiu, R. G., Ravi, R. R., & Qiu, L. L. (2015). Aggregating and visualizing public opinions and sentiment trends on the US higher education. In M. Steinbauer, M. Indrawan-Santiago, G. Anderst-Kotsis, & I. Khalil (Eds.), 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings [33] (17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings). Association for Computing Machinery, Inc. https://doi.org/10.1145/2837185.2837261